Spaces:
Running
Running
import gradio as gr | |
def response_print(model_list, response_list): | |
answer = "" | |
cot = "CoT" | |
none = "None" | |
for idx in rnage(len(model_list)): | |
answer = answer + f"# {model_list[idx]}'s response: {cot if response_list else none}\n" | |
return answer | |
demo = gr.Interface( | |
response_print, | |
[ | |
gr.CheckboxGroup(["Llama2", "Alpaca", "Vicuna", "Koala", "Falcon", "Baize", "WizardLM", "Orca", "phi-1.5"], label="Model Selection", info="Choose 3 LMs to participate in LLM Agora."), | |
gr.Checkbox(label="CoT", info="Do you want to use CoT for inference?") | |
], | |
"text", | |
) | |
demo.launch() |